Receptive fields and visual representationsEfficient representation of images for human use requires an understanding of how the brain processes and represents visual information. Spatial imagery is represented in the brain in the receptive fields of visual neurons. Models of these neurons lead to models of image fidelity, and to digital implementations of these neural codes. This approach will be illustrated by two example codes. The advantages and difficulties of this approach will be discussed.
Document ID
19900051810
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Watson, Andrew B. (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
Behavioral Sciences
Meeting Information
Meeting: Human Vision, Visual Processing, and Digital Display
Location: Los Angeles, CA
Country: United States
Start Date: January 18, 1989
End Date: January 20, 1989
Sponsors: JPL, SPIE, Society for Imaging Science and Technology